St. Xavier’s College – Autonomous, Mumbai Syllabusxaviers.edu/main/images/syllabi/science/BScIT_SEM_5_6_new2018... · ITS.5.01 NETWORK SECURITY AND INTERNET TECHNOLOGY ... Atul

5th Semester Syllabus for Courses in Information Technology. St. Xavier’s College –Autonomous, Mumbai.

St. Xavier’s College – Autonomous, Mumbai

Syllabus

For 5th Semester Courses in Information Technology

(June 2018 onwards)

Contents:

ITS.5.01 NETWORK SECURITY AND INTERNET TECHNOLOGY

ITS.5.02 C# AND ASP.NET

ITS.5.03 DATA WAREHOUSING AND DATA MINING

ITS. 5.04 E COMMERCE AND M- COMMERCE TECHNOLOGIES

ITS.5.05 INTRODUCTION TO ARTIFICIAL INTELLIGENCE

ITS.5.PR1 C# AND ASP.NET AND ARTIFICIAL INTELLIGENCE

ITS.5.PR2 DATA WAREHOUSING & DATA MINING AND NETWORK

SECURITY

5th and 6th SEMESTER SYLLABUS BSc.IT Dept, St. Xavier’s College-Autonomous, Mumbai

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T.Y.B.Sc (I.T ) S. ITS.5.01

Subject: Network Security and Internet Technology

Objective:

Security is an important aspect for the internet. This course teaches various security cryptography

techniques and digital signature along with network security. It also introduces to the technique of

accessing remote objects through RMI.

[Total lectures 60]

Continuous Internal Assessment

MCQ/Presentation/Case studies

Midterm test

BOOKS:

1) Atul Kahate: Cryptography and Network Security by Atul Kahate, 2nd Edition, Tata

McGrawHill.

2) Behrouz A. Forouzan: TCP/IP Protocol Suite, 4th Edition, Tata McGrawHill.

3) Charles P Pfleeger: Security in Computing.

UNIT I Computer Security and Cryptography

Computer Security : Introduction, Need for security, Principles of Security,

Types of Attacks

Cryptography : Plain text and Cipher Text, Substitution techniques, Caesar

Cipher, Mono-alphabetic Cipher, Polygram, Poly alphabetic Substitution,

Playfair, Hill Cipher, Transposition techniques, Encryption and Decryption,

Symmetric and Asymmetric Key Cryptography, Diffie-Hellman Key

Exchange.

15

UNIT II Symmetric Key, Asymmetric Key Algorithms, Digital Signature

DES, AES, Brief history of Asymmetric Key Cryptography, Overview of

Asymmetric Key Cryptography, RSA algorithm, Blowfish, Digital

Signatures, Digital Certificates, Private Key Management, PKI and

Security.

15

UNIT III Network Security

What makes Network Vulnerable? Who attacks Networks?

Threats in Transit: Eavesdropping and wiretapping, Spoofing, DoS and

DDoS, Link Encryption, End-to-End encryption, VPN, IPSec, Kerberos,

Firewall, different types of firewall, IDS, Different types of IDS, Security

of E-Mail.

15

UNIT IV TCP, UDP Socket Programming and RMI

TCP Services, TCP handshake, Concept of windows in TCP, Congestion

control, UDP Datagram, Socket concept, Types of socket, Sockets for

Clients, Sockets for Servers, Remote Method Invocation, RMI

Programming.

15


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T.Y. B.Sc.IT S. ITS.5.02

TITLE: C# with ASP.NET

Learning objective:

Student will learn the latest development of C# and ASP.NET in framework 4.0. This will equip

them with required in software industry for developing website projects.

[Total lectures 60]

UNIT I Introduction to DOTNET framework 4.0

Over view of .NET Framework, Components of .NET framework, Versions

of .net framework, understanding Visual studio 2010 IDE environment:

Design view, Source view, Output window, Error list window, Intelligence,

Property window, Object browser window, Start page, Toolbar and Toolbox.

C# language

Introduction to C#: understanding C# in .NET, Overview of C# literals,

Variables, Data types, Operators, Expressions, Branching and looping

operations methods, Arrays, Strings. Classes and objects: class, objects,

constructors, static members, static constructors, private constructor, copy

constructors, destructors, member initialization, this reference, nesting of

classes. Inheritance and Polymorphism: Classical inheritance, containment

inheritance, defining of subclasses, visibility control, defining subclasses

constructors, multilevel inheritance, Overriding methods, hiding methods,

Abstract classes, abstract methods.

Interface: Defining an interface, Extending an interface, Implementing

interface, Difference between interface and abstract class.

15

UNIT II Delegate, Events and Exception handling in C#

Delegate: Delegate declaration, delegate methods, Delegate’s instantiation,

delegates, multicast delegates, Types of error, exceptions, Syntax of

exception handling code, Multiple catch statement, the exception hierarchy,

general catch handler, using final statement, nested tri blocks, throwing our

own exceptions, checked and un checked operators, Using exceptions for

debugging .

Controls in ASP.NET : introduction to control class: Text box control, button

control, Label control, Image control, Image button control, Image map

control, Drop down list control, Check box control, Radio button control,

Table control, calendar control, site map control, Tree view control, Menu

control, validation controls, login controls, Database controls.

15

UNIT III ADO.NET

ADO.NET object model, data binding, Using connection, Command, data

reader classes, Queries returning results sets, passing parameters in queries,

using repeater control, data adapter, Using data set (typed), Data table, Data

row& data column, introducing the ADO.NET entity framework, mapping

your data model to an object model

15

UNIT IV LINQ and Crystal Report

LINQ: Introducing LINQ, LINQ to objects, LINQ to XML, LINO to

ADO.NET. Crystal report: Adding a crystal report to an ASP.NET

application, Inserting fills, Text and special fields, sorting, grouping and

15


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subtotaling, select expert, dynamic Formatting, using the Crystal report

viewer

Continuous internal assessment: Assignment on unit 1, unit 2, unit 3, unit 4,

midterm test

LIST OF RECOMMENDED REFERENCE BOOKS

1) ASP.NET 4.0 in simple steps dreamtech press

2) Integrating Crystal report into an ASP.NET Application by Vincent Varallo Wrox Publication

3)ASP.NET-The Complete reference Tata McGraw Hill.

4) Beginning ASP.NET 4: in C# and VB by Imar Spaanjaars Wrox Publication.

5) C# and .NET 4 by Christian wrox publication.

6) C# 2010 and .NET 4 plat form by Andrew Troelsen Apress publication.


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TITLE: Data Warehousing and data mining.

Learning objective:

Learn basic concept of Data Warehousing and data mining.

[Total lectures 60]

UNIT I Introduction to data Warehousing

What is the data warehousing, Need for data warehousing, Basic elements of

data warehousing, Data warehouse architecture, Data warehouse

development life cycle, data warehousing developing methodologies.

Overview of the components, meta data in the data warehouse, data

warehouse design consideration and dimension modeling defining the

business requirement, information package requirement gathering methods,

principles of dimensional modeling , dimensional table, fact table, star

schema model snow flake schema, slowly changing dimension

15

UNIT II Extraction, transformation and loading

ETL overview, data extraction, source identification, data extraction

techniques , data transformation, basic task, major transformation types, how

to implement transformation, data loading, data refresh verses update,

procedure for dimension table incremental loads, OLAP in the data

warehouse, OLAP models.

15

UNIT III Introduction to data miming and classification

Basic data mining tasks, Data mining verses knowledge discovery in

databases, A statistical perspective on data mining, Baye’s theorem,

regression and correlation, Neural networks classification introduction,

Classification

Introduction, issues in classification, Statistical based algorithms, Bayesian

classification, distance based algorithms, simple approach, K nearest

neighbors, Decision tree based algorithms, ID3.C 4.5

15

UNIT IV Clustering and association rule

Introduction to clustering, Hierarchical algorithms Agglomerative

algorithms, Divisive clustering, Partition algorithms, Minimum spanning tree

algorithm, squared error clustering large data base, BIRCH

Introduction to association rule

Large item set, AR general algorithm, Apriori-gen algorithm, Apriori

algorithm

15

Continuous Internet Assessment

Assignments, Written Test, Presentation

List Of Recommended Reference Books

1) Data warehousing fundamentals by Paulraj Ponniah

2) Data Mining Introductory and Advanced Topics, M.H. Dunham, Pearson Education.

3)Ian H. Witten, Data Mining, MK publishers.

4)W.H. Inmon, Building the Data Warehouses, Wiley Dreamtech.

5)R. Kimpall, The data warehouse toolkit, John Wiley.

6)Data warehousing, Soumendra Mohanty, Tata McGraw Hill


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TITLE: E-COMMERCE AND M-COMMERCE TECHNOLOGY

OBJECTIVE:

To create an awareness about role of it in business and to introduce concepts and techniques of e-

commerce Students will learn the ecommerce transaction done via paypal, how verisingn works,

how payment gateway works.

Student can apply the skill learnt in developing website project on e-commerce, m-commerce.

[Total lectures 60]

UNIT I Overview of electronic commerce and case study

Ecommerce Overview: understanding trade/ Business cycle, Business

process and business activity, History of e-commerce, generic model of e-

commerce, Evolution of e-commerce. Global and Indian scenario, difference

between conventional commerce and electronic commerce, classification of

ecommerce-B2B,B2C,C2C,C2B,G2G,G2C,B2G sites, introduction to IT act

and its role to encourage e-business, growing e-learning and e-governance,

understanding horizontal and vertical market, growth of online retailing and

e-marketing concepts, Features & benefits of e-commerce –Impacts,

challenges and limitations of e-commerce.

Case study

Amazon – success story, core values, business model, history, growth, future

plan, comparison with other e-commerce sites, e-bay-business model,

history, future plan, Verisign, Shopping process with Payseal and Paypal,

Flipkart-history, business model, growth, comparison with other E-

commerce sites, future plan, dotcom-its rise, fall and analysis, payTM-

business model, growth and history, Infrastructure for shopping cart .

15

UNIT II E-Commerce Models, Portals

E-Commerce Models: store-front model, brick and mortar model, build to

order merchant model, service provider model, subscription based model,

broke model, advertiser model, virtual mall model, infomediary model.

Portals: Difference between website and portal function of portals, portals

technologies, feature of portal.

15

UNIT III Advance technology of Ecommerce and security

Rich internet application, web 2.0, REST Web Services, Web Mashup,

Working of Search Engines, SEO, LDAP, EDI, VPN, click stream analysis.

E-CRM-Concept& definition, features Goals of E-Cm business framework,

Types of E-CRM. Working of Payment Gateway. Security concerns in e-

commerce. Public and Private key, encryption. Cryptography and types of

cryptography, Digital signature.

Role of Certificate Authority. Firewall and types of firewall Intrusion

Detection System and Honey posts, SSL and IP sec protocol. Net banking,

DoS and DDoS attack.

15

UNIT IV M-Commerce Technologies

1) INTRODUCTION TO m-COMMERCE

- What is m-Commerce

- Why wireless?

- Compare 2G, 3G, 4G

- WAP

--WAP architecture

15


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--How WAP works –WAP benefit –WAP limitations

2) THE TECHNOLOGIES OF m-COMMERCE.

- Computer of cell, MS, BSC, MSC, NSS, OSS.

- Multiplexing scheme [TDMA, FDMA, CDMA].

- Concept of uplink and downlink traffic.

- Understanding handover

- Understanding frequency reuse.

- GSM in detail.

3) M-COMMERCE Services Today

- introduction

-mobile portals

-mobile information services

-mobile directory services

-mobile banking and trading

-mobile E-tailing and E-Ticketing

-mobile entertainment

-mobile business application and services


CIA I: Written test for 20 marks

CIA II: Assignments / Project / Presentation / Case Study/ Written Test for 20 marks

REFERENCE Books:

1) E-Commerce: The cutting edge of business, Kamlesh K. Bajaj and Debjani Nag, Tata McGraw Hill

2) E-Commerce and M-Commerce technologies by P.Candace Deans and IRM press publication

3) m-Commerce by Norman sadeh john and wiley & Sons Publication.

4) E-Commerce strategies, technology and applications (David) Tata McGrawHill

5) Introduction of E-Commerce (jeffrey) Tata-McGrawHill

CLASS: T.Y. B.Sc.IT COURSE CODE: S.ITS.5.05

TITLE : Introduction to Artificial Intelligence

LEARNING OBJECTIVES:

To provide students with a basic exposure to the field of Artificial Intelligence.

Total Number of lectures: 60

UNIT I Introduction to AI and Searching Techniques (15 lectures)

Introduction to AI

What is AI?

The Foundations of Artificial Intelligence

The History of Artificial Intelligence,

The State of the Art

Agents and Environments,

Good Behavior: The Concept of Rationality, the Nature of

Environments, the Structure of Agents


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Searching Techniques

Problem-Solving Agents, Example Problems,

Searching for Solutions, Uninformed Search Strategies,

Informed (Heuristic) Search Strategies, Heuristic Functions,

Local Search Algorithms and Optimization Problems

UNIT II Learning from Observation (15 lectures)

Fundamentals of Javascript

Forms of Learning, Inductive Learning,

Learning Decision Trees, Ensemble Learning,

Why Learning Works:

Computational Learning Theory

Introduction to ANN

Units in neural networks,

Network structures,

Single layer feed-forward neural networks (perceptrons),

Multilayer feed-forward neural networks,

Learning neural network structures

UNIT III Introduction to Genetic Algorithms (15 lectures)

Genetic Algorithms

A Brief History of Evolutionary Computation,

The Appeal for Evolution, Biological Terminology,

Search Spaces and Fitness Landscapes,

Elements of Genetic Algorithms,

A Simple Genetic Algorithm,

Genetic Algorithms and Traditional Search Methods,

Some Applications of Genetic Algorithms

UNIT IV Introduction to Fuzzy System (15 lectures)

Fuzzy Systems

The Case for Imprecision,

A historical Perspective,

The Utility of Fuzzy Systems,

Limitations of Fuzzy Systems,

The Illusion: Ignoring Uncertainty and Accuracy,

Uncertainty and Information,

The Unknown, Fuzzy Sets and Membership,

Chance verses Fuzziness

………………………………………………………..

LIST OF RECOMMENDED REFERENCE BOOKS and URL: 1. Stuart Russel, Peter Norvig, “Artificial Intelligence- A Modern Approach”, Pearson Education

2. An Introduction to genetic algorithms- By Melanie Mitchell

3. Fuzzy Logic with Engineering Applications – by Timothy J. Ross

4. Elaine Rich, Kevin Knight, “Artificial Intelligence”

5. Patterson, “Introduction to Artificial Intelligence and Expert Systems”


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6. Jacek M Zurada, “Introduction to Artificial Neural Systems”

7. Ahmad Ibrahim, “Introduction to Applied Fuzzy Electronics”, PHI

---------------------------------------------------------------------------------------------------------------------

T.Y. B.Sc.IT Course : S.ITS.5.PR 1

Practical – I:

Network Security and Internet Technology

Data warehousing and Data mining

Network Security and Internet Technology

LEARNING OBJECTIVE:

To equip the students with skills required in software industry

Students will learn RMI and Network Security practicals.

(Minimum 8 expts.)

Based on Socket and RMI

Q1) Write a socket program using TCP to find the factorial of a number.

Q2) Write a socket program using UDP to whether the number provided is even or odd.

Q3) Write a program using RMI concept to implement a menu driven task.

Q4) Write RMI program to implement sum of digits of number.

Based on Substitution and Transposition Cipher

Q5) Write a java code to implement Caeser Cipher with encryption and decryption.

Q6) Write a java code to implement polygram substitution Cipher with encryption and decryption.

Q7) Write java program to implement Rail-Fence Transposition Technique taking no of rows from the user as input.

Q8) Write java program to implement Vernam cipher with encryption and decryption.

Q9) Implement RSA algorithm accepting the inputs from user.

Based on AES /DES/Blowfish


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Q10) Accept 16 Hex bits(64 bits) number from user and generate 16 subkeys of 12Hex bits(48bits) each using DES

Algorithm and PC-1 Table .

Q11) Implement the Blow Fish algoritm.

Q12) Implement the subbyte transformation using S-Box of AES.

Q13) Implement digital signature in the program.

Subject : Data warehousing and Data mining

Course code:ITS.5.PR

Objective : to develop the skill of data analytics and to understand the concept of data warehouse.

Software: Oracle 11g and Weka

Practical topics:

1. Oracle Database creation

2. Importing tables from data sources.

3. Designing staging area.

4. Design star schema model

5. Implementation of data extraction , transformation and loading

6. Setting up a data mart

7. Implementation of classification algorithm

a. Naïve Bayes algorithm

b. Decision tree based algorithms(J48)

8. Implementation of different types of clustering algorithm

. K means algorithm

a. Hierarchical algorithm

9. Implementation of Apriori algorithm.

10. Implementation of classification, clustering and association rule using Knowledge flow.

T.Y. B.Sc.IT Course : S.ITS.5.PR2

Practical – II:

C# with ASP.NET

Artificial Intelligence

C# with ASP.NET

Learning Objective:

To equip the students with skills required in software industry Students will learn the latest of C# and ASP.NET

in framework 4.0 Students can apply the skill learnt in developing website projects

I) Write a C# code to generate fibonacci numbers in between the sequence along with an option to

continue or quit. Accept the start and end numbers from user.


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II) Write a C# code to separate the numbers in an array num[20] having odd and even numbers into

two arrays even[10] containing only even numbers and odd[10] containing only odd numbers.

Accept the numbers from the user.

III) Write a C# code to find a number which appears maximum number of times in an array of n

numbers. Repetition is allowed.

IV) Write a C# code to print pascals triangle. Accept the number of rows from the user

V) Write C# code to arrange the name of cities in sorted order. Accept name of 10 cities from the

user

VI) Write C# code to use the LINQ (Language-Integrated Query) feature of C# by creating a

collection of CarNames stored in string array. Now display all the names using LINQ.

VII) Create methods add(). multiply(), substract() ,divide() with suitable parameters and call these

methods using concept of C# delegate.

VIII) Using DataList control in ASP.NET display the following fields ENO ENAME ADDRESS

PHOTO from the database. Accept the eno range from the user

IX) Which control should be used to validate:

a) A password which is entered twice for confirmation

b) The age of the user to be over 21

c) The date to be after the 10/10/2000

Justify your answer by writing correct Validators and conditions.

Design a Login screen in ASP.NET which accepts user name and password. On submit it should

check from the server whether the user exists or not. If the user exists in web server then he/she

should be directed to proper html page with welcome message.

X) Design a Login screen in ASP.NET which accepts user name and password. On submit it should

check from the server whether the user exists or not. If the user exists in web server then he/she

should be directed to proper html page with welcome message.

XI) Write the following application.

The initial page is called Validator.aspx and it has 7 text boxes representing

(Name, Family Name, Address,City, Zip Code, Phone and e-mail address), and a Check button.

Display the page that user gets after clicking on Check button.

The required validation actions are:

● name different from family name,

● address at least 2 letters,

● city at least 2 letters,

● zip-code 5 digits,

● phone according to the format XX-XXXXXXX or XXX-XXXXXXX,

● e-mail is a valid email.

Display the page with the message that user gets after entering only some of the details correctly.

Finally display the page that the user gets after a correct submission of all the details.

XII) Create a screen which accepts student roll no. On click of submit it should display student result

in the grid view with fields

Name Course Marks Total Marks Percentage

The database table contains table called student ( roll no, name, course , address, year)

Result (roll no, subject, marks, total marks)

XIII) Design a purchase order report using crystal report. PO must have the basic fields

VENDOR SHIP TO ITEM NO DESCRIPTION QTY UNIT PRICE TOTAL

XIV) Using crystal report design simple mark-sheet for SSC result. The data should appear

dynamically form database.

XV) Using crystal report design attendance report for SYIT in various subjects.


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Data should be taken dynamically from database

XVI) Design the front page of the website using various controls of DOTNET framework Some of the

controls are SiteMap control, TreeView control, Menu control, Validation controls, Login

controls etc.


Conducting practical test

T.Y. B.Sc.IT Course: ITS.5.PR2

Practical:

The practical for this subject can be performed in any of the following programming languages: Java,

C#.NET, Python, C++ and Android.

Artificial Intelligence

1. Implementation of any 2 uninformed search methods with some meaningful application.

2. Implementation of any 2 informed search methods with some application.

3. Implementation of a simple NN for any suitable application (with tool/library).

4. Implementation of a simple NN for any suitable application (without tool).

5. Implementation of a simple GA for any suitable application (with tool/library).

6. Implementation of a simple NN for any suitable application (without tool).

7. Implementation of MiniMax approach for TIC-TAC-TOE using Java/ Android/Python.

8. Demonstrate the use of fuzzy systems to help the management decide whether the player should

get selected for a team or not.

9. Develop a book recommend-er (a book that the reader should read and is new to the reader)

Expert system or (any other).

ASSESSMENT:

PRACTICALS *

ESE: 45 marks for exam + 05 marks for journal

A journal of the programs and its output should be maintained. Certified journal will have to be

presented at the time of practical exam.


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St. Xavier’s College – Autonomous, Mumbai

Syllabus

For 6th Semester Courses in Information Technology

(November 2018 onwards)

Contents:

ITS.6.01 BIG DATA AND CLOUD COMPUTING

ITS.6.02 ENTERPRISE RESOURCE PLANNING

ITS.6.03 ADVANCED JAVA

ITS. 6.04 SOFTWARE TESTING

ITS.6.05 PROJECT

ITS.6.PR ADVANCED JAVA AND BIG DATA VISUALIZATION


Page 14 of 23

CLASS: T.Y. B.Sc.IT COURSE CODE: ITS.6.01

TITLE: Cloud Computing and Big Data


To study the fundamentals of cloud computing, various architectures and applications that implement

cloud computing and understand the scope of its security features.

To understand the basic concept of Big data.


Unit I Cloud Computing Fundamentals: Fundamental Cloud Computing Patterns,

application workloads

Cloud Service Models:

IaaS, PaaS, SaaS

Amazon web services: Amazon EC2, Amazon S3, Amazon SimpleDB, Amazon

SQS, Amazon CloudFront

Different Cloud Deployment Models:

Public, Private, Community, Hybrid Cloud

What is a Cloud Storage

1. Different storage type over Cloud: Blobs, Tables (Non-Relational), File Storage.

2. Blob: Block Blob, Page Blob, Append Blobs.

3.Table Storage

4. File Storages, Amazon Elastic File System(Requirements and Applications)

Where to use Cloud Storages, Different Cloud Storage Providers: Google Drive,

Microsoft One Drive, Azure Storage, Amazon, Drop Box

15

Unit II Virtualization:

Introduction & benefits of Virtualization, Characteristics of Virtualized

environments, Levels of Virtualization, ParaVirtualization, Full Virtualization,

virtualization of CPU, memory, and I/O devices

Technology examples: VMware, Microsoft Hyper-V, Virtual Box (Freeware App to

try out on Local Computer) Hyper V- Generation 1 & 2

Virtual Machines

What are Virtual Machines, Properties of Virtual Machines, How physical Machines

can be moved to Virtual Machines(Workloads), Traffic Management – Load

Balancers & Traffic Managers.

15

Unit III Fundamentals of Big Data

15

Understanding Big data, concepts and terminology

Big data characteristics, different types of data

business motivations and drivers for big data adoption

Business architecture, big data adoption and planning considerations

Organizational prerequisites, Data procurement

Big data analytics life cycle, enterprise technologies and big data business

intelligence, Online transaction processing(OLTP),

Online analytical processing(OLAP)

Extract, Transform ,Load(ETL), Traditional BI, Big data BI

Big Data storage concepts


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Continuous Internal Assessment:

Assignment / Project /Presentations

LIST OF REFERENCE BOOKS:

1)Big data fundamentals concepts, Drivers and Techniques -Thomas Earl, Wajid Khattak, Paul Bulher

2)Cloud computing patterns, Fehling, Leymann, Ralph Retter, et. al., Springer

2) Cloud Computing, Rittinghouse, Ransome, CRC press

3) Cloud Computing Black Book, jayaswal, Kallakurchi,Houde,Shah, DreamTech Press

4) Cloud Computing: A practical Approach – Anthony T. Velte, Robert Elsenpeter, Toby J. Velte

5) Cloud + Study guide, Todd Montgomery

6)Virtualizing Hadoop -George Trujillo, Charles Kim, Steven Jones , Romme Garcia, Justin Murray.

Clusters, File systems and distributed systems

NoSQL, Sharding , Replication, CAP theorem

ACID, Big data processing concepts, Parallel data processing

Distributed data processing, Processing workloads, batch

Transactional Cluster, Processing in batch mode

Batch processing

Unit IV Hadoop

Hadoop Fundamentals, What is Hadoop? Hadoop Framework

A Hadoop cluster, Hadoop directory layouts

The Hadoop Distributed File System

Hive, Hbase, Pig Latin Scripts

Name node, Data node, Job Tracker, Task Tracker, Data block

MapReduce

with Map Reduce, Map and Reduce tasks

Map, Combine, Partition, Shuffle and sort

Reduce, understanding map reduce algorithms

15


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CLASS: T.Y. B.Sc.IT COURSE CODE: ITS.6.02

TITLE : Enterprise Resource Planning


To introduce the concept of ERP systems and SCM’s structures with special focus on Material

Management module along with open source ERP software demos as a learning tool.


UNIT I ERP-An Introduction and Implementation (15 lectures)

ERP-An Introduction

What is ERP?

The Need for ERP, Benefits of ERP,

Business Models, Growth of ERP in India

ERP Implementation Lifecycle introduction

In-house Implementation Pros and Cons,

Vendors, Consultants, End-Users

UNIT II Supply Chain Management – I (15 lectures)

Introduction -

What is Supply Chain? Its objective, Supply Chain Decision making, Process

View of a Supply Chain,

Examples of Supply Chains

The Network -

The Role of Distribution in the Supply Chain,

Factors that influence the Distribution Network Design,

Design Options for a Distribution Network,

E-Business and the Distribution Network,

Channels of Distribution, Distribution Networks in Practice.

UNIT III Supply Chain Management - II (15 lectures)

The Customer service dimension –

Customer Service and Customer Retention,

Service driven logistics systems,

Setting customer service priorities and service standards

Benchmarking the Supply Chain –

Benchmarking the logistics process,

Mapping supply chain processes,

Supplier and distributor benchmarking,

Setting benchmarking priorities, performance indicators

UNIT IV ERP Modules (15 lectures)

Key ERP Modules

Finance, Sales and Distribution,


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Human Resource Management,

Marketing,

Material Management

Understanding the functionality of the modules with the demonstration of open

source ERP software

………………………………………………………..

LIST OF RECOMMENDED REFERENCE BOOKS and URL: 1. “ERP”, Alexis Leon, Tata McGraw Hill.

2. “Supply Chain Management Strategy, Planning and Operation”, S Chopra, P. Meindl and D.

Kalra, Pearson.

3. “Logistics and Supply Chain Management”, Martin Christopher, Pearson

4. Alexis Leon, “ERP Demystified”, Tata McGraw Hill

5. “Enterprise Resource Planning”, E. Monk, B. Wagner, Cengage Learning

6. Materials Management with SAP ERP, 3rd Edition, Martin Murray, SAP PRESS.

T.Y. B.Sc.IT Course: S.ITS.6.04

Title: Software Testing Learning Objective: To develop the skill of software testing

Number of lectures: 60

Unit 1 The basics of software testing (15 lectures)

Terms and Motivations:

Error and Bug Terminology, Testing Terms, Software Quality

The Fundamental Test Process Test Planning and Control, Test Analysis and

Design,

Test Implementation and Execution,

Evaluation of the Test Exit Criteria and

Reporting, Test Closure Activities

Testing in software lifecycle

The General V Model

Component Test:

Explanation of Terms, Test Objects, Test Environment, Test Objectives, Test

Strategy,

Integration Test:

Integration Strategy, System Test, Acceptance test:

Testing for user acceptance, Operational testing,

Field testing, alpha testing and beta testing.

Unit 2 Functional testing (15 lectures)

Boundary value analysis testing,


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Robustness testing, Worst case testing, Equivalence class testing, Decision table

based testing,

Cause effect graphing technique and

State transition testing.

Structural testing

Control flow testing,

Statement coverage, Branch coverage,

Conditional coverage and path coverage, Data flow testing,

Basis path testing, cyclomatic complexity, Mutation testing, mutation and

mutants,

Mutation operators and mutation score and slice based testing

Unit 3 Static testing and Test management (15 lectures)

Static testing, Foundations, Review,

Walkthroughs, inspections, The General Process, Roles and Responsibility and

Types of Review

Test Management

Test Planning: Quality Assurance Plan, Test Plan, Prioritizing Tests

Cost and Economy Analysis: Cost of Testing, Test Effort Estimation

Definition of Test Strategy: Preventives Reactive Approach,

Analytical vs. Heuristic Approach

Unit 4 Advanced concepts of software testing (15 lectures)

Metrics and models in software testing,

Software metrics, categories of metrics, What should be measured during testing?

Testing web applications,

Functional testing, user interface testing, navigation testing and form based

testing, automated test data generation using genetic algorithm, initial population,

Crossover and mutation, fitness function and algorithm for generating test data.

List of Recommended Reference Books

1. Software Testing by Yogesh Singh

2. Software testing foundations–AndreasSpillner, TiloLinz, HansSchaefer(SPD publication)

3. Software Testing–Ron Patton second edition

4. Software engineering–A Practitioners Approach Roger s Pressman

5. Software testing–Principles, Techniques and Tools- TataMc-GrawHill education Pvt .Ltd, New

Delhi

T.Y. B.Sc.IT Course: S.ITS.6.PROJ


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Title: Project

Learning Objective:

To build an innovative software solution for a well defined problem by applying the knowledge of

all the application oriented software learnt in the BSc.IT course and beyond.

Students are expected to continue the project which they had started in semester V. Project

will carry 8 credits with 200 Marks.

Students can do live project in industry or in-house project.

Students are expected to give time equivalent to 12 lecture periods/week, out of which 3 periods will be

contact time for guidance from internal guide. There will be continuous internal assessment (CIA) for

40% of the credit (80Marks).

This will consist of:

Remaining 60% of the credit (120Marks) will be end semester examination consisting of

documentation, presentation and viva. This will be jointly examined by the project guide and

external examiner under the subheading of marks as follows:

Documentation Presentation viva Execution of System design

(validation, database various modules understanding

handling) with report and

testing

30 30 20 30 10

List of project categories

1. Hardware projects based on microcontroller / PIC

2. Networking projects

3. Mobile projects

4. Wireless technologies

5. Website projects

6. Desktop application

7. Real-time application in Linux/Unix

8. Or any other suitable project which is approved by the project guide

Suggested format for project report S. ITS.6.PROJ

1. Cover page

2. Certificate from college(for in-house / external project)

3. Synopsis of project

4. Project report

a. Table of content

b. Definition of problem

c. Objective and scope of project

d. System analysis and design


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User requirement Functional requirement Non-functional requirement

ii. Normalization

iii. DFD , context level diagrams

iv. Flowchart, ER diagram

v. Use case diagrams

b. Feasibility study

. Technical feasibility

i. Economical feasibility

ii. Operational feasibility

c. Software engineering paradigm applied

d. Software and hardware requirement specification

e. PERT chart, Gantt chart

f. Coding

g. Code efficiency

k. Validation checks

l. Testing

• Test techniques(white box and black box testing)

• Writing Test cases

• Using test data

• Generating defect reports

• Use of testing tools(manual/automated)

b. System security measures

c. Cost estimation of project

n. Reports

o. Screen shots

p. Future enhancement

q. Bibliography

r. Glossary

5. Students have to submit black book to college(1 per group) in A4 size with one side written

(approx 150-200 pages) along with CD having full documentation and codes

6. Students doing project in industry will have to get certificate from the company.

ADVANCED JAVA

Learning Objective:

To equip the students with skills required in software industry. Students will learn the latest of Java

through Struts2 and Hibernate Practicals. Students can apply the skill learnt for projects.

For a 2 credit course a minimum of 8 programs should be executed. A journal of the printouts

of the programs and its output should be maintained. Certified journal will have to be

presented at the time of practical exam.


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I) Write a servlet code with the initialization parameter.

II) Implement a Stack in Java and perform the following operations: (Create, Push, Pop, Search a

data item)

III) Write Filter program in servlet to block the user from particular IP address.

IV) Write a servlet which displays the cookie name and the value.

V. Create Bulletin Board Servlet

This is a bulletin board that is maintained by the server. Entries are parsed as HTML, so you

can post anything from plain text to applets. The entries are saved to a file, so the board will

survive server shutdowns.

Enter message:

Submit Message Clear Message View Postings

VI) Create a "DataServlet.java" which is the servlet which is making the connection to the

database and retrieves the data from database. After getting the values from database, data is

added to the Data List. Then data list is added to the request object and sent to the JSP page.

In JSP page the values are displayed using Iterator class object.

VII) Create an html page with fields, eno, name, age, desg, salary. Now on submit this data to a jsp

page which will update the employee table with matching eno.

VIII) Write jsp code to demonstrate the use of session object in shopping cart.

IX) Write JSP code to do login authentication from database and redirect to new JSP page as per the

role assigned in the database.

X) Using struts validation framework do validation for

1)email

2)phone 3)emp no

4)emp name 5)age


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XI) Create a login interceptor in struts which always intercepts and displays a login screen when the

user has not logged in and tries to visit some page on the website.

XII) To persist the java objects using the Hibernate Object/Relational Mapping (ORM)

framework

XIII) Consider one to one relation as shown. Now map this relationship using hibernate


MCQ / Viva test during practicals

Mid Term practical test.

T.Y. B.Sc.IT Course: ITS.6.PR1

Practical: BIG DATA VISUALIZATION

Objective:

This course is useful for those students who would like to become a data analyst or Data Scientist. A

Business intelligence tool for visually analyzing data will be used. Students will be able to create as

well as depict the trends, variations and density of the data in the form of graphs and charts.

List of practical:

1.Performing graphical analysis in R

2.Getting familiarized with different data visualization technologies.

3. Basics- Students will understand Environment set up and get acquainted with its user interface.

Toolbar Icons, Main Menu, Data types, Charts etc.

4. Data Sources:

Data Sources,

Data Extraction,

Data Joining,

Data Blending,

Data View

5. Worksheet Calculations:

Add worksheets,

Rename worksheets,

Reorder Worksheets ,

Basic sorting,

Basic Filters,

6.Operations on data:


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Operators,

Functions,

Numeric calculation ,

String calculation,

Table calculations

7. Sorting and Filtering:

Computed sorting,

Manual sorting,

Quick filters,

Condition filters,

Filter operations

8.Designing Charts: Basic

Bar Chart,

Line Chart,

Pie Chart,

Cross tab,

Histogram ,

Motion Chart,

9. Designing Charts:Advanced

Gantt Chart,

Bubble Chart,

Tree Map,

Waterfall chart

10. Text Mining: Word Cloud:

11.Dashboard: Creating a Dashboard and Formatting.

Dash board: Combine Multiple views of data to get richer insight.

12: Creating a forecast: Forecasting is about predicting the future value of a measure.

13. Create a trend line: Trend lines are used to predict the continuation of a certain trend of a variable. It

also helps to identify the correlation between two variables.

14. Create a story: A story is a sequence of visualizations that work together to convey the information.

Create a story point

Explore layout option

Format a story

Present your story

Reference book:

Big Data Black Book

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St. Xavier’s College – Autonomous, Mumbai Syllabusxaviers.edu/main/images/syllabi/science/BScIT_SEM_5_6_new2018... · ITS.5.01 NETWORK SECURITY AND INTERNET TECHNOLOGY ... Atul

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